updates

app.py

@@ -1,7 +1,9 @@
 from flask import Flask, render_template, request
 from retrieve_bot import ChatBot
+import nltk
 
 app = Flask(__name__)
+nltk.download("punkt")
 chatSheldon = ChatBot()
 chatSheldon.load()
 

retrieve_bot.py

@@ -85,7 +85,6 @@ class ChatBot:
         top_scores, top_indexes = top_candidates(
             bot_cosine_scores, intent=intent, initial_data=self.scripts, top=10
         )
-        print(top_scores)
         if top_scores[0] < 0.9:
             answer = random.choice(low_scoring_list)
             self.conversation_history.clear()
@@ -109,7 +108,6 @@ class ChatBot:
                 answer = self.scripts.iloc[list(updated_top_candidates.keys())[0]][
                     "answer"
                 ]
-                print(self.scripts.iloc[top_indexes[0]]["answer"])
             else:
                 answer = self.scripts.iloc[top_indexes[0]]["answer"]
 

utils.py

@@ -6,7 +6,6 @@ import pickle
 import random
 from nltk.tokenize import word_tokenize
 import string
-import nltk
 
 
 def encode(texts, model, intent, contexts=None, do_norm=True):
@@ -219,7 +218,6 @@ def read_files_negative(path1, path2):
 
 def intent_classification(question, answer, tag_model):
     greetings = ["hi", "hello", "greeting", "greetings", "hii", "helo", "hellow"]
-    nltk.download("punkt")
     tokens = word_tokenize(answer.lower())
     for token in tokens:
         if token in greetings: